Update app.py

app.py

@@ -73,7 +73,7 @@ with demo:
     gr.Markdown('This demo showcases the cross-domain retrieval capabilities of our self-supervised cross domain training as presented @CVPR 2022. For details please refer to [the paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Harary_Unsupervised_Domain_Generalization_by_Learning_a_Bridge_Across_Domains_CVPR_2022_paper.pdf)')
     gr.Markdown('The model is trained in an unsupervised manner on all domains without class labels. The labels are displayed to indicate retrieval success/failure.')
     gr.Markdown('## Instructions:')
-    gr.Markdown('Select a query domain and a class from the drop-down menus and the select any random image from the domain using the slider below and press the "Run" button. The retrieved results from each of the four domains, along with the class label will be presented.')
+    gr.Markdown('Select a query domain and a class from the drop-down menus and select any random image index from the domain using the slider below, then press the "Run" button. The query image and the retrieved results from each of the four domains, along with the class label will be presented.')
     gr.Markdown('## Select Query Domain: ')
     gr.Markdown('# Query Image: \t\t\t\t')
     # domain_drop = gr.Dropdown(domains)